Comments (5)
Hi !
It doesn't appear to be normal. The results.json file obtained from the ytvis19 dataset is typically around 80MB in size, and it should be smaller when compressed into a zip file. Could you please provide me with more information to assist in identifying the issue?
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Hi, thanks for your information. I think it is because of the environment. After re-installing the environment. I got the reasonable results.
I also want to ask you another question related to the training with num_worker > 0, I found that during training is shut down at around 30000 iterations because of the file read error ( unable to open shared memory object </torch_1655_4056744771> in read-write mode)
I trained with 2 GPUs.
Thanks!
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I'm sorry, I haven't come across such a situation. I have been using PyTorch 1.9.0 (cuda 10.2 or cuda 11.3) without any issues. I believe the problem you're experiencing might be related to the version of PyTorch you're using. You can try switching to a different version.
from dvis.
Hi, @zhang-tao-whu
I also installed the environment following your instruction using PyTorch 1.9.0 with cuda11.1,
I met this issue at around 30000 iterations: UserWarning: resource_tracker: There appear to be 28 leaked semaphore objects to clean up at shut down and the work is shut down automatically.
Do you have any suggestions about this issue?
from dvis.
Please provide more detailed logs and information.
from dvis.
Related Issues (20)
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